The flagship product named HEALTM leverages Artificial Intelligence and Machine Learning to identify and prevent future issues from occurring while detecting and solving existing problems. The innovative solution aims to help enterprises reduce their downtime to near zero.
The software has taken the role of AIOps to the next level for enterprises looking to efficiently manage IT operations and reduce downtime drastically. With its R&D centre in Bengaluru, the software was conceptualized and developed in India, exemplifying the spirit of Atmanirbhar Bharat.
According to George Thangadurai,CEO, HEAL Software, “COVID-19 has accelerated digitalization of the enterprises and compelled organizations to move beyond traditional Application Performance Management tools and embrace AIOps. This has increased relevance for a solution like HEAL significantly as enterprises reprioritize their investment and focus on ensuring business resilience and continuity. HEAL is sector agnostic and has strong relevance for transaction heavy sectors such as BFSI, e-commerce, telecom, travel & hospitality, healthcare, etc.”
Talking further about the software he adds, “It is an innovative healing solution that replaces the traditional 'break and fix' model with 'predict and prevent' thereby revolutionizing the experience of enterprises dealing with heavy workload. HEAL is the first product rolled out under our Preventive Healing Enterprise product portfolio for cloud, edge, and on-premise deployments. We expect to roll out more innovative products in the coming future to address the dynamic needs of the Indian enterprises.”
With HEAL’s unique preventive healing approach, issues are detected and resolved before an incident occurs. HEAL’s AI engine studies the business’ systems to learn the normal operating routine, continuously monitors systems, and identifies unusual behavioral patterns. Thus, HEAL can find the root causes of anomalies and takes corrective actions autonomously or via AI-augmented human effort before any damage is done. All of this can be done without the need for human intervention – saving substantial time and money usually spent on identifying and resolving problems related to software and infrastructure.
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